Gilbert Zenner’s Post

💡𝐌𝐲 𝐉𝐨𝐮𝐫𝐧𝐞𝐲 𝐓𝐡𝐫𝐨𝐮𝐠𝐡 𝐭𝐡𝐞 𝐂𝐨𝐫𝐞 𝐨𝐟 𝐏𝐲𝐭𝐡𝐨𝐧 — 𝐌𝐚𝐬𝐭𝐞𝐫𝐢𝐧𝐠 𝐎𝐎𝐏 Today, I completed a detailed 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗼𝗹𝗮𝗯 𝗻𝗼𝘁𝗲𝗯𝗼𝗼𝗸 covering every concept of 𝗢𝗯𝗷𝗲𝗰𝘁-𝗢𝗿𝗶𝗲𝗻𝘁𝗲𝗱 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 (𝗢𝗢𝗣) in Python — with hands-on coding questions and real examples. 🚀 To be honest, this journey taught me something powerful: 👉 𝗢𝗢𝗣 𝗶𝘀𝗻’𝘁 𝗷𝘂𝘀𝘁 𝗮𝗻𝗼𝘁𝗵𝗲𝗿 𝗣𝘆𝘁𝗵𝗼𝗻 𝘁𝗼𝗽𝗶𝗰 — 𝗶𝘁’𝘀 𝘁𝗵𝗲 𝗳𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝘁𝗵𝗮𝘁 𝘀𝗵𝗮𝗽𝗲𝘀 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴 𝗶𝗻 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗮𝗻𝗱 𝗔𝗜. Once you truly understand how classes, objects, and inheritance work, you begin to see Python differently — it’s no longer about syntax, it’s about 𝘁𝗵𝗶𝗻𝗸𝗶𝗻𝗴 𝗹𝗶𝗸𝗲 𝗮 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿. As someone passionate about 𝐀𝐈 𝐚𝐧𝐝 𝐟𝐮𝐭𝐮𝐫𝐞 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬, I now realize how crucial it is to master these fundamentals. Because if your Python basics are strong, you’re already one step closer to doing something big in 𝐀𝐈. 🌟 Here’s what I covered in my notebook: 🔹 Attributes & Constructors 🔹 Instance Methods & Dunder Functions 🔹 Four Pillars of OOP — Inheritance, Polymorphism, Abstraction, Encapsulation 🔹 Abstract, Class & Static Methods 🔹 Super Class, Method Overriding & MRO 🔹 Aggregation & Composition 🔹 Getters & Setters 🔹 Duck Typing (LBYL & EAFP) 💬 𝐌𝐲 𝐦𝐞𝐬𝐬𝐚𝐠𝐞 𝐭𝐨 𝐥𝐞𝐚𝐫𝐧𝐞𝐫𝐬: Don’t rush to advanced topics like AI or data science — first, fall in love with the core of Python. Strong roots create strong coders. 🌱 ▪︎If you want to see the Notebook so Link Below: https://lnkd.in/da9-TqTx #Python #OOP #AI #MachineLearning #CodingJourney #Motivation #Developers #LearningNeverStops #Programming #GoogleColab Ameen Alam Muhammad Qasim Hasnain Ali Hassam Rauf

I’ve compiled and organized 284 pages of comprehensive notes covering all key topics in Python These notes summarize important concepts, definitions, and examples in a clear and concise manner — perfect for quick revision or in-depth learning. Sharing this here to help anyone who’s preparing or revising similar topics. 💡 Feel free to connect, download, or share it with someone who might find it useful! #PythonLearning #Notes #DataScience #MachineLearning